Luo XY, Zhang YM, Zhu RQ, Yang SS, Zhou LF, Zhu HY. Development and validation of novel nomograms to predict survival of patients with tongue squamous cell carcinoma. World J Clin Cases 2022; 10(32): 11726-11742 [PMID: 36405263 DOI: 10.12998/wjcc.v10.i32.11726]
Corresponding Author of This Article
Hui-Yong Zhu, MD, PhD, Professor, Department of Oral and Maxillofacial Surgery, The First Affiliated Hospital of Zhejiang University School of Medicine, No. 79 Qingchun Road, Shangcheng District, Hangzhou 310003, Zhejiang Province, China. zhuhuiyong@zju.edu.cn
Research Domain of This Article
Oncology
Article-Type of This Article
Retrospective Cohort Study
Open-Access Policy of This Article
This article is an open-access article which was selected by an in-house editor and fully peer-reviewed by external reviewers. It is distributed in accordance with the Creative Commons Attribution Non Commercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited and the use is non-commercial. See: http://creativecommons.org/licenses/by-nc/4.0/
Xia-Yan Luo, Ya-Min Zhang, Run-Qiu Zhu, Hui-Yong Zhu, Department of Oral and Maxillofacial Surgery, The First Affiliated Hospital of Zhejiang University School of Medicine, Hangzhou 310003, Zhejiang Province, China
Shan-Shan Yang, Department of Stomatology, Sanmen People’s Hospital, Taizhou 317100, Zhejiang Province, China
Lu-Fang Zhou, Department of Stomatology, Jiangshan People's Hospital, Quzhou 324199, Zhejiang Province, China
Author contributions: Luo XY and Zhang YM contributed equally to this work and share the first authorship; Luo XY, Zhang YM, and Zhu HY designed the research study; Zhu RQ, Yang SS, and Zhou LF collected data; Luo XY and Zhang YM analyzed the data and wrote the manuscript; All authors have read and approve the final manuscript.
Institutional review board statement: The study was reviewed and approved by the Clinical Research Ethics Committee of the First Affiliated Hospital, Zhejiang University School of Medicine (Approval No. IIT20210346A).
Informed consent statement: The informed consent was exempted.
Conflict-of-interest statement: All the authors declare that they have no conflicts of interest.
Data sharing statement: The datasets of this study are available on request to the corresponding author.
STROBE statement: All the authors have read the STROBE Statement-checklist of items, and the manuscript was prepared and revised according to the STROBE Statement-checklist of items.
Open-Access: This article is an open-access article that was selected by an in-house editor and fully peer-reviewed by external reviewers. It is distributed in accordance with the Creative Commons Attribution NonCommercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited and the use is non-commercial. See: https://creativecommons.org/Licenses/by-nc/4.0/
Corresponding author: Hui-Yong Zhu, MD, PhD, Professor, Department of Oral and Maxillofacial Surgery, The First Affiliated Hospital of Zhejiang University School of Medicine, No. 79 Qingchun Road, Shangcheng District, Hangzhou 310003, Zhejiang Province, China. zhuhuiyong@zju.edu.cn
Received: August 8, 2022 Peer-review started: August 8, 2022 First decision: September 25, 2022 Revised: October 2, 2022 Accepted: October 17, 2022 Article in press: October 17, 2022 Published online: November 16, 2022 Processing time: 91 Days and 22.9 Hours
ARTICLE HIGHLIGHTS
Research background
There is no unified standard to predict postoperative survival in patients with tongue squamous cell carcinoma (TSCC), hence the urgency to develop a model to accurately predict the prognosis of these patients.
Research motivation
Development of new models for predicting survival in patients with TSCC is important for facilitating patient-clinician communications and assisting clinicians in improving decision-making.
Research objectives
This study aimed to develop nomograms for predicting overall survival and cancer-specific survival in patients with TSCC based on demographic and histopathological variables, and to externally validate the established nomograms.
Research methods
Two databases of patients with TSCC were used to develop nomograms and to perform external validation, respectively.
Research results
Eight variables were selected and used to develop nomograms for patients with TSCC. The C-index and area under the curve indicated that the discrimination abilities of these nomograms were acceptable. The calibration curves indicated that predicted and actual values were consistent. The NRI values and decision curve analysis results indicated that the nomograms were significantly better than the TNM staging system in predicting the prognosis of patients with TSCC.
Research conclusions
The nomograms we developed exhibit great accuracy, effectiveness, and clinical utility for predicting the prognosis of patients with TSCC.
Research perspectives
In addition to the demographic and histopathological characteristics, some molecular markers that have an impact on survival, such as PD-1, CD47, CXCL11, may be incorporated to predict the prognosis of patients with TSCC in future.
